Tag Archives: Data Analysis

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Upcoming Workshop – Informatics for RNA-Seq

Upcoming Workshop – Informatics for RNA-Seq

Canadian Bioinformatics Workshop Series Date June 19-20, 2014 – Vancouver, British Columbia Faculty Malachi Griffith and Obi Griffith Course Objectives High-throughput sequencing of RNA libraries (RNA-seq) has become increasingly common and largely supplanted gene microarrays for transcriptome profiling. When processed ...

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RNA-Seq Blog – Poll Results

RNA-Seq Blog – Poll Results

We asked: Which step of an RNA-Seq experiment is the greatest source of technical variability? Thanks to everyone who participated! Check out the new poll question in the narrow sidebar and cast your vote.

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RNA-seq data analysis workshop

RNA-seq data analysis workshop

This international workshop covers several aspects of RNA-seq data analysis, ranging from quality control, assembly and alignment to differential expression analysis and miRNA-mRNA integration. Particular emphasis is given to comparison of different analysis tools. The program consists of two lecture ...

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For classification- use the highest possible coverage

A key goal of systems biology and translational genomics is to utilize high-throughput measurements of cellular states to develop expression-based classifiers for discriminating among different phenotypes. Recent developments of Next Generation Sequencing (NGS) technologies can facilitate classifier design by providing ...

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Calculating Sample Size Estimates for RNA Sequencing Data

Calculating Sample Size Estimates for RNA Sequencing Data

Given the high technical reproducibility and orders of magnitude greater resolution than microarrays, next-generation sequencing of mRNA (RNA-Seq) is quickly becoming the de facto standard for measuring levels of gene expression in biological experiments. Two important questions must be taken ...

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